/*
 * Copyright (c) 2020, NVIDIA CORPORATION.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include <cudf/detail/aggregation/aggregation.cuh>

namespace cudf {
namespace experimental {
namespace detail {

void initialize_with_identity(mutable_table_view & table,
                              std::vector<aggregation::Kind> const& aggs,
                              cudaStream_t stream) {
  // TODO: Initialize all the columns in a single kernel instead of invoking one
  // kernel per column
  for (size_type i = 0; i < table.num_columns(); ++i) {
    auto col = table.column(i);
    dispatch_type_and_aggregation(col.type(), aggs[i], identity_initializer{}, 
                                  col, stream);
  }
}

}  // namespace detail
}  // namespace experimental
}  // namespace cudf
